Office of Cyber Infrastructure & Computational Biology, National Institute of Allergy and Infectious Disease, National Institutes of Health, Bethesda, MD, United States of America.
PLoS One. 2019 May 23;14(5):e0217410. doi: 10.1371/journal.pone.0217410. eCollection 2019.
The NIAID TB Portals Program (TBPP) established a unique and growing database repository of socioeconomic, geographic, clinical, laboratory, radiological, and genomic data from patient cases of drug-resistant tuberculosis (DR-TB). Currently, there are 2,428 total cases from nine country sites (Azerbaijan, Belarus, Moldova, Georgia, Romania, China, India, Kazakhstan, and South Africa), 1,611 (66%) of which are multidrug- or extensively-drug resistant and 1,185 (49%), 863 (36%), and 952 (39%) of which contain X-ray, computed tomography (CT) scan, and genomic data, respectively. We introduce the Data Exploration Portal (TB DEPOT, https://depot.tbportals.niaid.nih.gov) to visualize and analyze these multi-domain data. The TB DEPOT leverages the TBPP integration of clinical, socioeconomic, genomic, and imaging data into standardized formats and enables user-driven, repeatable, and reproducible analyses. It furthers the TBPP goals to provide a web-enabled analytics platform to countries with a high burden of multidrug-resistant TB (MDR-TB) but limited IT resources and inaccessible data, and enables the reusability of data, in conformity with the NIH's Findable, Accessible, Interoperable, and Reusable (FAIR) principles. TB DEPOT provides access to "analysis-ready" data and the ability to generate and test complex clinically-oriented hypotheses instantaneously with minimal statistical background and data processing skills. TB DEPOT is also promising for enhancing medical training and furnishing well annotated, hard to find, MDR-TB patient cases. TB DEPOT, as part of TBPP, further fosters collaborative research efforts to better understand drug-resistant tuberculosis and aid in the development of novel diagnostics and personalized treatment regimens.
NIAID TB 门户计划（TBPP）建立了一个独特且不断增长的数据库存储库，其中包含来自耐多药结核病（DR-TB）患者病例的社会经济、地理、临床、实验室、放射学和基因组数据。目前，来自九个国家的网站（阿塞拜疆、白俄罗斯、摩尔多瓦、格鲁吉亚、罗马尼亚、中国、印度、哈萨克斯坦和南非）共有 2428 个总案例，其中 1611 个（66%）为多药耐药或广泛耐药，1185 个（49%）、863 个（36%）和 952 个（39%）分别包含 X 射线、计算机断层扫描（CT）扫描和基因组数据。我们引入了数据探索门户（TB DEPOT，https://depot.tbportals.niaid.nih.gov）来可视化和分析这些多领域数据。TB DEPOT 利用 TBPP 将临床、社会经济、基因组和成像数据整合到标准化格式中，并使用户能够驱动、可重复和可重现的分析。它进一步推动了 TBPP 的目标，即为有高负担的多药耐药结核病（MDR-TB）但资源有限和数据无法访问的国家提供一个基于网络的分析平台，并根据 NIH 的可发现、可访问、互操作性和可重复性（FAIR）原则实现数据的可重复使用。TB DEPOT 提供对“分析就绪”数据的访问，并具有即时生成和测试复杂临床导向假设的能力，同时具有最小的统计背景和数据处理技能。TB DEPOT 还有望增强医学培训，并提供难以找到的、经过充分注释的 MDR-TB 患者病例。TB DEPOT 作为 TBPP 的一部分，进一步促进了合作研究努力，以更好地了解耐药结核病，并帮助开发新的诊断方法和个性化治疗方案。
